MixER: linear interpolation of latent space for entity resolution
Abstract Entity resolution, accurately identifying various representations of the same real-world entities, is a crucial part of data integration systems. While existing learning-based models can achieve good performance, the models are extremely dependent on the quantity and quality of training dat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-03-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01018-2 |